Data Scientist - Generative AI
Data Scientist - Generative AI
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Job Description
Job Title
Data Scientist - Generative AIJob Description
We are seeking a highly skilled Data Scientist with Generative AI expertise to join our team. In this role you will develop fine-tune and optimize generative AI models to drive innovation across various applications including text image audio and video generation. You will collaborate with cross-functional teams including machine learning engineers software developers and product managers to create cutting-edge AI solutions.
Key Responsibilities
Must Have
Proficient in Python
Understanding of the Pytorch and TensorFlow frameworks
Understanding the NLP techniques and text processing tools such as NLTK Gensim etc.
Proficient with LLM models from HuggingFace for different text processing tasks
Proficient with data handling capabilities and querying from SQL/No-SQL databases
Understanding of the vision problems that can be solved using generative AI models
Good to Have
Experience with prompt engineering techniques and leverage best practices with LLM technology
Develop and Optimize Generative AI Models Design train and fine-tune models such as GPT Stable Diffusion StyleGAN and LLaMA for real-world applications.
Data Preparation & Engineering Gather clean and preprocess large-scale datasets for training and evaluation of generative models.
Experimentation & Model Evaluation Conduct A/B testing and assess model performance using quantitative metrics (e.g. FID BLEU perplexity ROUGE etc.).
Research & Innovation Stay updated with the latest advancements in generative AI deep learning and large language models (LLMs).
Deployment & Scaling Work with ML engineers to deploy models into production environments using cloud platforms (AWS Azure) and frameworks like TensorFlow PyTorch and Hugging Face.
Collaboration & Communication Work closely with cross-functional teams to integrate AI solutions into business processes and applications.
Minimum Qualifications:
Bachelors or masters degree in computer science AI Data Science Machine Learning or a related field.
3 years of experience in machine learning deep learning or AI research with at least 1 year of hands-on experience in generative AI.
Strong proficiency in Python and ML frameworks like TensorFlow PyTorch or JAX.
Experience working with LLMs diffusion models GANs VAEs or transformers.
Knowledge of natural language processing (NLP) computer vision or multimodal AI applications.
Familiarity with prompt engineering fine-tuning and RLHF (Reinforcement Learning from Human Feedback).
Experience in cloud-based AI solutions and working with APIs (e.g. OpenAI Hugging Face Stability AI).
Strong problem-solving skills and the ability to work in a fast-paced research-driven environment.
Experience with vector databases (e.g. FAISS Pinecone) and retrieval-augmented generation (RAG).
Hands-on experience with MLOps tools (e.g. MLflow Kubeflow Docker Kubernetes).
Understanding of ethical AI and bias mitigation in generative models.
Strong publication record or contributions to open-source AI projects.
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How we work together
We believe that we are better together than apart. For our office-based teams this means working in-person at least 3 days per week.
this role is an office role.
About Philips
We are a health technology company. We built our entire company around the belief that every human matters and we wont stop until everybody everywhere has access to the quality healthcare that we all deserve. Do the work of your life to help the lives of others.
Learn more about our business.
Discover our rich and exciting history.
Learn more about our purpose.
If youre interested in this role and have many but not all of the experiences needed we encourage you to apply. You may still be the right candidate for this or other opportunities at Philips. Learn more about our culture of impact with care here.
Employment Type
Full-Time
